Job Details
WORK ABROAD| GLOBAL CAREERS | DIGITAL NOMADS- EUROPE Jobs| USA| CANADA| | Frannie
Lead AI/ML Engineer
Experience: 8+ Years in AI/ML, Data Engineering, and Analytics
Role Summary
We are seeking a highly skilled Lead AI/ML Engineer to develop scalable machine learning solutions for
large-scale automotive and engineering data. The role focuses on time-series analytics, signal
processing, anomaly detection, behavioral modeling, and AI-driven insights from TB-scale
measurement data.
Key Responsibilities
Develop AI/ML solutions for large-scale time-series and vehicle measurement data. Build data pipelines for MDF4, ASAM, and DLT data parsing and processing at TB scale. Design and implement feature extraction, signal alignment, resampling, and
preprocessing frameworks.
Develop machine learning models for pattern recognition, anomaly detection, clustering, and
behavioral segmentation.
Apply supervised and unsupervised learning techniques to complex engineering datasets. Optimize model performance through precision/recall tuning and validation against sparse
ground truth data.
Ensure data quality, lineage, traceability, and governance across AI/ML workflows. Work closely with data architects, software engineers, and domain experts to deliver
production-ready solutions.
Required Skills
Machine Learning & Artificial Intelligence Python, PySpark Time-Series Analytics Feature Engineering & Signal Processing Pattern Recognition & Template Matching Anomaly Detection Clustering & Behavioral Segmentation Supervised & Unsupervised Learning Data Quality & Data Lineage Large-Scale Data Processing (TB+ datasets) Automotive Measurement Data Analysis
Domain Expertise
MDF4, ASAM, DLT data formats Vehicle and engineering measurement data Signal processing and telemetry analytics Volvo-side or automotive data access patterns Time-series modeling and sequence analytics
Preferred Qualifications
Experience with Spark, Databricks, or cloud-scale data platforms. Knowledge of automotive, connected vehicle, or embedded systems domains. Familiarity with MLOps, model deployment, and monitoring frameworks.
Skills: Machine Learning & Artificial Intelligence ? Python, PySpark ? Time-Series Analytics ? Feature Engineering & Signal Processing ? Pattern Recognition & Template Matching ? Anomaly Detection ? Clustering & Behavioral Segment
Posted by: Lauren & Jose HR Consultancy
Phone: +971 50 575 7096
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